Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크

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평가표

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/BPMJG/annotated_pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/BR-IDL/PaddleViT/tree/develop/image_classification/RepMLP

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

https://github.com/BY571/CQL

Conservative Q-Learning for Offline Reinforcement Learning

https://github.com/BY571/Normalized-Advantage-Function-NAF-

Continuous Deep Q-Learning with Model-based Acceleration

https://github.com/BY571/Soft-Actor-Critic-and-Extensions

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/BZstat/Attendance-AI

Learning Face Representation from Scratch

https://github.com/Baichenjia/BHER

ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay

https://github.com/Baichenjia/Resnet

Deep Residual Learning for Image Recognition

https://github.com/Bao-Jiarong/ResNet

Deep Residual Learning for Image Recognition

https://github.com/Baukebrenninkmeijer/HackGAN

FaceForensics++: Learning to Detect Manipulated Facial Images

https://github.com/BeanGreen247/Python-AI-Arts

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/BearNinja123/esrGAN_vBearNinja123

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/BeefMILF/facenet

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/Bennie-Han/Image-augementation-pytorch

Training Region-based Object Detectors with Online Hard Example Mining

https://github.com/BerkeleyLearnVerify/VerifAI

Proximal Policy Optimization Algorithms

https://github.com/BiDAlab/DeepFakesON-Phys

DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation

https://github.com/Bkmz21/CompactCNNCascade

Compact Convolutional Neural Network Cascade for Face Detection

https://github.com/BonJunKu/ScooterHelmetDetector

Object Detection in 20 Years: A Survey

https://github.com/BradNeuberg/personal-photos-model

Learning Face Representation from Scratch

https://github.com/BrianPulfer/PapersReimplementations

Proximal Policy Optimization Algorithms

https://github.com/Brook1711/RIS_components

Continuous control with deep reinforcement learning

https://github.com/Bsingstad/ECG-age

https://github.com/Burf/HRNetV2-OCR-Tensorflow2

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/Burf/ResNet-Tensorflow2

Deep Residual Learning for Image Recognition

https://github.com/Burf/tfdetection

Focal Loss for Dense Object Detection

https://github.com/CNC-IISER-BHOPAL/Any-Body-Can-Dance

Everybody Dance Now

https://github.com/CSAILVision/semantic-segmentation-pytorch

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/CSautier/Breakout

Proximal Policy Optimization Algorithms

https://github.com/CSautier/PongBot

Proximal Policy Optimization Algorithms

https://github.com/CVxTz/face_age_gender

Deep Residual Learning for Image Recognition

https://github.com/CaedenZ/distractionModel

Real-time Convolutional Neural Networks for Emotion and Gender Classification

https://github.com/CahideSara/deneme

Focal Loss for Dense Object Detection

https://github.com/Calylyli/Mindsporehrnet

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/CanshangD/ResNet_tensorflow2.0

Deep Residual Learning for Image Recognition

https://github.com/CatoGit/Comparing-the-Performance-of-Deepfake-Detection-Methods-on-Benchmark-Datasets

DeepFakes: a New Threat to Face Recognition? Assessment and Detection

https://github.com/CdtQin/FairFace

Improving Face Recognition from Hard Samples via Distribution Distillation Loss

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.